A collection of algorithms and data structures
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Updated
Dec 30, 2024 - Java
A collection of algorithms and data structures
Open source routing engine for OpenStreetMap. Use it as Java library or standalone web server.
Implementation of Algorithms and Data Structures, Problems and Solutions
Hipster4j is a lightweight and powerful heuristic search library for Java and Android. It contains common, fully customizable algorithms such as Dijkstra, A* (A-Star), DFS, BFS, Bellman-Ford and more.
Modular and modern graph-theory algorithms framework in Java
Source code for the HappyCoders.eu articles on pathfinding and shortest path algorithms (Dijkstra, A*, Bellman-Ford, Floyd-Warshall).
This repository supplements a mobile app on algorithm and data structure visualization, providing code for the concepts demonstrated in the app. It's an essential resource for users seeking to understand and explore these implementations in detail.
Five Java projects assigned for the Data Structures and Algorithms (CMPE 250) course in the Fall 2021-22 semester.
Fundamental computer science algorithms and preparation for computing contests.
Algorithms and Data Structures a comprehensive collection of fundamental Algorithms and Data structures organized into various categories to cater to the needs of software engineers and computer science students.
Android App for simulating Dijkstra and A* algorithms through intuitive animations
Computer Science subject module at Roskilde University. Was made as part of a 15ETCS course where we applied Different Pathfinding strategies to solve shortest path problem. Contains Dijkstra and A* implemented in Java with a JavaFX User Interface to demonstrate shortest path visualization. Note: this project is not maintained
Algorithms and Data structures final project
Utilizing graph traversal (depth-first search and Dijkstra's algorithms) to navigate the shortest path through highways between cities given their coordinates.
ALT algorithms on a grid graph used for routing on the sea.
🛰️ Real-world navigation based on open source spatial data and pathfinding algorithms
Algoritmos de Grafos. Grafos No Dirigidos No Ponderados y Ponderados. Grafos Dirigidos Ponderados. Coloreo de Grafos con algoritmos Secuencial Aleatorio, Welsh-Powell y Matula. Algoritmos de Dijkstra, Prim, Kruskal, Floyd, Warshall. Búsqueda en Profundidad (DFS) y Búsqueda en Anchura (BFS).
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